Unit 3: Bayesian Learning & Evaluating Hypotheses
Title: Unit 3 Machine Learning Handwritten Notes – Bayesian Learning & Hypothesis Testing
Description: Struggling with Probability in ML? These hand written notes for Unit 3 provide a clear explanation of Statistical Learning. Ideal for college students preparing for semester exams in AKTU, CCSU, or other technical universities. These notes are formatted to help you score high in both core and open elective papers.
Topics Covered:
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Evaluation: Estimating Hypothesis Accuracy and basics of Sampling Theory.
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Bayesian Learning: Bayes Theorem, MAP & ML hypotheses, and Naïve Bayes Classifier.
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Advanced Models: Bayesian Belief Networks and the EM Algorithm.